Preliminary test of fit in a general class of conditionally heteroscedastic nonlinear time series
  • Baek, J. S.
  • Park, J. A.
  • Hwang, S. Y.
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초록

This article is concerned with a general class of conditionally heteroscedastic time series including possibly nonlinear and asymmetric autoregressive conditional heteroscedastic (ARCH) and generalized ARCH models. A problem of preliminary test of fit (PTF, hereafter) within the broad class under consideration is discussed. It is noted that contrary to usual tests in the literature of conditionally heteroscedastic time series, PTF does not require any specification of the conditional variance in advance. Based on the joint limit distributions of sample autocorrelations, a certain Portmanteau-type statistic for PTF is proposed, and its limit is shown to be a chi-square distribution. In addition, some simulation studies, under various innovations, are reported to support our theoretical results.

키워드

conditional heteroscedasticitynonlinear GARCHnonlinear time seriespreliminary test of fitRESIDUAL AUTOCORRELATIONSVARIANCEMODELS
제목
Preliminary test of fit in a general class of conditionally heteroscedastic nonlinear time series
저자
Baek, J. S.Park, J. A.Hwang, S. Y.
DOI
10.1080/00949655.2011.558087
발행일
2012-05
유형
Article
저널명
Journal of Statistical Computation and Simulation
82
5
페이지
763 ~ 781